Data Scientist
Skills
Data IntegrationProgramming LanguagesAzure DatabricksData AnalyticsData ModelingData PipelinesMachine Learning
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Ph.D. or master’s degree in data science and/or significant industry specific experience
- Proven track record of leading data science projects
- Strong expertise in data engineering, NLP, machine learning, statistical analysis, data mining, or data visualisation techniques
- Proficiency in programming languages such as Python, R, and experience with relevant libraries and frameworks, and data pipeline tools like Fabric, Databricks or Snowflake
- Familiarity with database management and database design, data layout for data lakes, and data engineering best practices
- Familiarity with biological and clinical data types and their challenges
- Excellent leadership, communication, and interpersonal skills
Day to day
- The role involves shaping the data strategy for Bioscript Group by designing and implementing advanced data analytics solutions.
- Responsibility includes managing data scientists, providing mentorship, and fostering a collaborative and innovative environment.
- Involves collaborating with cross-functional teams, communicating data science strategies and outcomes, and integrating data insights into strategic planning.